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Master-level optimization of professional images and document covers. Use this skill to apply high-fidelity visual effects (glows, shadows, contrast) that elevate a simple text-on-image composition to a premium deliverable.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
| name | pro-image-optimizer |
| description | Master-level optimization of professional images and document covers. Use this skill to apply high-fidelity visual effects (glows, shadows, contrast) that elevate a simple text-on-image composition to a premium deliverable. |
| version | 1.0.0 |
| author | Antonio Ballesteros |
| created | "2025-02-05T00:00:00.000Z" |
| tags | ["image-processing","optimization","pillow","typography","visual-effects"] |
To apply the "final 10% of polish" that separates amateur designs from high-end corporate deliverables. This skill provides programmatic patterns for enhancing readability and visual prestige through advanced image processing.
Never place white text directly on a variable background. Apply a Gaussian-blurred shadow layer to anchor the text.
from PIL import Image, ImageFilter
# Create a blurred shadow layer offset by (x+5, y+5)
shadow = Image.new('RGBA', txt_layer.size, (0,0,0,0))
shadow_draw = ImageDraw.Draw(shadow)
shadow_draw.text((pos_x+4, pos_y+4), text, font=font, fill=(0,0,0,180))
shadow = shadow.filter(ImageFilter.GaussianBlur(radius=5))
txt_layer = Image.alpha_composite(shadow, txt_layer)
For extra "prestige", add a subtle outer glow with the brand's secondary color (e.g., gold) to the main title.
glow = Image.new('RGBA', txt_layer.size, (0,0,0,0))
glow_draw = ImageDraw.Draw(glow)
# Draw text slightly thicker or multiple times with blur
glow_draw.text((pos_x, pos_y), title, font=font, fill=(212, 175, 55, 100))
glow = glow.filter(ImageFilter.GaussianBlur(radius=10))
Instead of darkening the whole image, apply a vertical gradient mask to the bottom half (where the title usually lives) for a more professional "cinematic" look.
mask = Image.new('L', img.size, 0)
for y in range(img.height):
mask_draw.line((0, y, img.width, y), fill=int(255 * (y / img.height)))
# Use this mask to blend a darkened version of the image
Apply a sharp edge filter to the logo and title text layers only, ensuring they look crisp regardless of the background resolution.
Audit Anclora repositories, new apps, features, landing pages, locale files, documentation, prompts, marketing copy, metadata, schema.org, SEO, GEO and AEO readiness for text quality. Use when Codex, Claude Code, Gemini CLI or Hermes must proofread, humanize, localize, validate claims, or run the Anclora text quality gate before closing work.
Specialized skill to audit and transform NotebookLM notebooks into "Continuous Learning Platforms". It focuses on pruning outdated content, configuring a "Learning Mentor" persona, and setting up recursive learning tools like Quizzes and Flashcards.
Skill to audit a large NotebookLM notebook and split its sources into multiple specialized notebooks based on identified themes.
Specialized skill to audit, optimize, and maintain the NotebookLM workspace for "OpenClaw: The Universal Personal AI Assistant Platform". Use this skill when you need to: (1) audit or clean sources in the main OpenClaw notebook or any of its 4 sub-notebooks, (2) remove duplicate, obsolete, or low-value sources from any OpenClaw NotebookLM notebook, (3) configure or update the AI persona/instructions for any OpenClaw sub-notebook, (4) validate the retrieval quality of OpenClaw knowledge bases, (5) do any deep research, pruning, or restructuring task related to the OpenClaw NotebookLM workspace.
A highly specialized skill designed to audit and optimize a Territorial Intelligence NotebookLM workspace (specifically focused on Southwest Mallorca Real Estate, Luxury Market, Tourism, and Urban Development).
Analyzes and cleans up markdown artifacts (like **bold**, *italic*, [links](url)) inside existing .docx files, converting them into proper Word formatting (runs with styles).